In product, design, and engineering teams, “architecture” and “design system” often come up in the same conversation. Even though they’re discussed in the same context, they solve different problems. When that difference isn’t clear, you get misaligned decisions, rework, and poorly targeted tests: the team tries to fix in the UI something that actually originates

Functional tests verify whether each feature of your software does exactly what it should do. They validate whether the login button actually authenticates the user, whether the shopping cart calculates the total correctly, whether the form sends data where it needs to go. There are different types of functional tests, and each one has its

A system can work perfectly under normal conditions and fail completely when demand increases. This reality affects companies of all sizes and segments: an e-commerce that crashes during Black Friday, a banking app that becomes unavailable on payday, or a streaming platform that can’t handle the spike in access during a highly anticipated series launch.

You run the test suite, half passes, half fails. Then you run it again and… everything changes. Before long, nobody knows whether it’s a bug, environment instability, an external integration, or simply inconsistent test data. The team spends hours investigating and, worse, starts to lose trust in automation. Bad test data is, in practice, results

Test automation streamlines daily work, cuts costs, and speeds up releases. For large teams, it’s non-negotiable. When multiple teams are involved, turning automation into part of the routine can be more work than it first appears. A few precautions now prevent headaches later and build confidence across the entire process. 7 most common mistakes when